Analysis of Intelligent Mining Technology in Fully Mechanized Coal Face

2021 ◽  
Keyword(s):  
Coal Face ◽  
Mining Technology

Research and Practice of Safe Mining Technology in Steeply Inclined Coal Seam under Complicated Geological Conditions

2012 ◽  
Vol 203 ◽  
pp. 509-513
Author(s):  
Xiang Ren ◽  
Rong Zhao ◽  
Xiao Li Chui
Keyword(s):  
Coal Seam ◽  
Coal Face ◽  
Mining Technology ◽  
Current State ◽  
Production Safety ◽  
Geological Conditions ◽  
New Ideas ◽  
Mining Coal ◽  
Cutting Height ◽  
And Control

Based on the analysis of the current state of mining in steeply inclined coal seam, combination with the mining status of the 3up 509 fully mechanized mining coal face with a max 28°inclination and a high cutting height,The key technologies was Study on the anti-sliding of coal face equipment, ends and advance support, water prevention and control as well as other key technology of steeply inclined coal seam, Good technical and economic results achieved in actual production,Support capability of production safety in mine enhanced,This article Opened up new avenues and new ideas for the promotion of mechanized mining technology under similar geological conditions.

Analysis of Weighting over Great Extent upon Fully Mechanized Coal Face with Non-Hard Roof Based on Measured Data

2014 ◽  
Vol 962-965 ◽  
pp. 992-997
Author(s):  
Tao Zhu
Keyword(s):  
Experimental Analysis ◽  
Safety Valve ◽  
Measured Data ◽  
Large Area ◽  
Coal Face ◽  
Hydraulic Support ◽  
Mining Technology ◽  
Hard Roof ◽  
Drawing Speed ◽  
Working Face

Due to the influence of geology, mining technology, supporting strength, fully mechanized coal face sometimes would happen large area caving and weighting over great extent, causing casualties. Theoretical and experimental analysis shows, not only hard roof could happen weighting over great extent, but softer roof upon long wall face could happen, the only difference was the location of disaster and the failure forms. The paper analyzed weighting over great extent upon fully mechanized coal face with non-hard roof based on measured data. The results show that, the important factors of support break-off were the setting load of hydraulic support, drawing speed of working face and support efficiency, and it would achieve support break-off warning help to analyze the open rates of safety valve.

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

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